Association of PD-L1 Expression and Other Variables With Benefit From Immune Checkpoint Inhibition in Advanced Gastroesophageal Cancer

Author:

Yoon Harry H.1,Jin Zhaohui1,Kour Oudom1,Kankeu Fonkoua Lionel Aurelien1,Shitara Kohei2,Gibson Michael K.3,Prokop Larry J.1,Moehler Markus4,Kang Yoon-Koo5,Shi Qian1,Ajani Jaffer A.6

Affiliation:

1. Mayo Clinic, Rochester, Minnesota

2. National Cancer Center East, Chiba, Japan

3. Vanderbilt University, Nashville, Tennessee

4. Johannes-Guttenberg University, Mainz, Germany

5. Asan Medical Center, University of Ulsan, Seoul, Korea

6. The University of Texas MD Anderson Cancer Center, Houston

Abstract

ImportanceApproval by the US Food and Drug Administration of immune checkpoint inhibition (ICI) for advanced gastroesophageal cancer (aGEC) irrespective of PD-L1 status has generated controversy. Exploratory analyses from individual trials indicate a lack of meaningful benefit from ICI in patients with absent or low PD-L1 expression; however, analysis of a single variable while ignoring others may not consider the instability inherent in exploratory analyses.ObjectiveTo systematically examine the predictive value of tissue-based PD-L1 status compared with that of other variables for ICI benefit in aGEC to assess its stability.Data SourcesMEDLINE, Embase, Scopus, Web of Science, Cochrane Central Register (2000-2022).Study Selection, Data Extraction, and SynthesisRandomized clinical trials (RCTs) were included of adults with aGEC (adenocarcinoma [AC] or squamous cell carcinoma [SCC]) randomized to anti−PD-1 or PD-L1−containing treatment vs standard of care (SOC). Study screening, data abstraction, and bias assessment were completed independently by 2 reviewers. Of 5752 records screened, 26 were assessed for eligibility; 17 trials were included in the analysis.Main Outcomes and MeasuresThe prespecified primary end point was overall survival. The mean hazard ratio (HR) for ICI vs SOC was calculated (random-effects model). Predictive values were quantified by calculating the ratio of mean HRs between 2 levels of each variable.ResultsIn all, 17 RCTs (9 first line, 8 after first line) at low risk of bias and 14 predictive variables were included, totaling 11 166 participants (5067 with SCC, 6099 with ACC; 77.6% were male and 22.4% were female; 59.5% of patients were younger than 65 years, 40.5% were 65 years or older). Among patients with SCCs, PD-L1 tumor proportion score (TPS) was the strongest predictor of ICI benefit (HR, 0.60 [95% CI, 0.53-0.68] for high TPS; and HR, 0.84 [95% CI, 0.75-0.95] for low TPS), yielding a predictive value of 41.0% favoring high TPS (vs ≤16.0% for other variables). Among patients with AC, PD-L1 combined positive score (CPS) was the strongest predictor (after microsatellite instability high status) of ICI benefit (HR, 0.73 [95% CI, 0.66-0.81] for high CPS; and HR, 0.95 [95% CI, 0.84-1.07] for low CPS), yielding a predictive value of 29.4% favoring CPS-high (vs ≤12.9% for other variables). Head-to-head analyses of trials containing both levels of a variable and/or having similar design generally yielded consistent results.Conclusions and RelevanceTissue-based PD-L1 expression, more than any variable other than microsatellite instability-high, identified varying degrees of benefit from ICI-containing therapy vs SOC among patients with aGEC in 17 RCTs.

Publisher

American Medical Association (AMA)

Subject

Oncology,Cancer Research

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